Home // DBKDA 2018, The Tenth International Conference on Advances in Databases, Knowledge, and Data Applications // View article
Authors:
Adam Agocs
Dimitrios Dardanis
Jean-Marie Le Goff
Dimitrios Proios
Keywords: Visual analytics; labelled graph; graph query language; visualisation; patents and publications
Abstract:
Human reasoning in visual analytics of data networks relies mainly on the quality of visual perception and the capability of interactively exploring the data from different perspectives. Visual quality strongly depends on networks’ size and dimensional complexity while network exploration capability relies upon the intuitiveness and expressiveness of user frontends. The approach taken in this paper aims at addressing the above by decomposing data networks into multiple networks of smaller dimensions and building an interactive graph query language that supports full navigation across the sub-networks. Within sub-networks of reduced dimensionality, structural abstraction and semantic techniques can then be used to enhance visual perception further.
Pages: 56 to 63
Copyright: Copyright (c) IARIA, 2018
Publication date: May 20, 2018
Published in: conference
ISSN: 2308-4332
ISBN: 978-1-61208-637-8
Location: Nice, France
Dates: from May 20, 2018 to May 24, 2018